Senior Recruitment Consultant - Data Science

Harnham
London
4 months ago
Create job alert

Description

Senior Recruitment Consultant
Wimbledon (first 6 months in office, then move to 4 days in the office, 1 day wfh)
Up to £40,000 depending on recruitment experience  
Clear commission structure (no caps or thresholds)
(Year 1 OTE 35-40k, Year 2 OTE 60k, Year 3 OTE 100k+)

Harnham was founded in 2006 by our 3 founders who set out to create a business where people would want to work for the long term and focus on delivering results to clients. Fast forward to now and Harnham is the global leader in Data & Analytics recruitment providing talent solutions to companies across all industries. 

We are looking for experienced recruiters who is ready to jump into 2025 and make it their year! We are recruiting for someone to join our Data Science & AI team. This market is receiving millions of investment so if you're keen to bring your experience to a booming market read on!


The Role

  • You will be a full-desk (360) recruiter which means you are responsible for taking ownership of the entire recruitment life cycle from start to finish
  •  Half of your day doing cold outreach and business development to build new client relationships & sell our services to high-level hiring managers at companies external to Harnham that need support in hiring specialized talent for their teams and then spend the other half of the day sourcing and screening qualified candidates for the roles.
  • Coming in as a senior recruiter you will receive tailored learning and coaching sessions with the in- house trainers as well as 121s with your manager weekly. 
  • You will be working in a highly productive sales environment and will be expected to consistently hit targets that have been set out for you
  • As much as this is a phone based role, where possible it is encouraged to meet clients face to face and go onsite to their offices
  • We expect our consultants to know their market inside out and provide loads of resources to develop and upskill this. You don't need previous experience in the data market but an eagerness to learn 


Wo we are?

Our culture is "people are our business."We are proud to be an inclusive organization with a diverse team, where 50% of our team members are female and 60% of our leadership team are female. We value every team member's contribution, and we recognize and reward both big and small wins. Our vibrant and collaborative culture is what makes us special. We believe in teamwork and supporting each other to achieve our goals. You will be joining a team of like-minded individuals who are passionate about recruitment and who genuinely enjoy working together. Our managers are hands-on and approachable, providing you with the support and guidance you need to develop your skills and progress in your career. Last year we were named one of the UK's Top Recruitment Companies to work for! 

To be successful at Harnham, as well as being a solid recruiter you also need to be someone who is eager to change the status quo and be open to evolving as the Data & Ai market evolves. Recruitment is a career that will often require you to work longer than the contracted hours (a typical day is 8am-6:30pm) because it will give more flexibility for your clients and candidates to take calls before or after their working hoursso please make sure you have looked into the commuting time to the office in Wimbledon.

Our Commitment to DEI:

At Harnham, we are deeply committed to fostering Diversity & Inclusion (D&I) within our organization. Over the past three years, we have implemented a comprehensive D&I strategy that guides our growth plans for the future. While we have achieved significant milestones, such as maintaining an equal gender split across all offices and surpassing census data in multiple ethnicities, we recognize that there is always more progress to be made and are actively focusing on this.
We're specialists in data and AI talent solutions, catering to all levels of seniority and expertise. With a wealth of experience in talent acquisition and data, we're the perfect partner to help you establish or enhance your organization's data team.

Over the past two decades, we've developed into the leading global authority in data and AI recruitment, boasting a team of hundreds of specialists across the United States, Europe, and the United Kingdom.

Related Jobs

View all jobs

Graduate Actuarial Analyst (Machine Learning)

Senior Recruiter

Senior Data Engineer

Contract Senior Data Engineer

Senior Security Architect

Senior Teradata Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.